# Copyright 2022-2023 Advanced Micro Devices Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import numpy as np

def softmax(res):
        x = np.array(res)
        x = x.reshape(-1)
        e_x = np.exp(x - np.max(x))
        res_list =  (e_x / e_x.sum(axis=0)).tolist()
        return res_list

def sort_idx(res):
    sort_idx = np.flip(np.squeeze(np.argsort(res)))
    return sort_idx
